Conference Day Two
8:30 am - 9:15 am MORNING COFFEE, NETWORKING BREAKFAST & REGISTRATION
9:15 am - 9:30 am CHAIRPERSON'S WELCOME & OPENING REMARKS
9:30 am - 10:15 am CONQUERING THE CHALLENGES OF LEGAL TECH INNOVATION IMPLEMENTATION AND HOW TO DO IT RIGHT
- Using innovation as a sustainability gear
- Building a Culture of Innovation: Getting everybody on board
- The innovation journey: Embracing the challenge of knowing how does an idea become a solution?
- Mapping the journey: Accelerating the development and delivery of breakthrough innovative ideas
- Looking forward: Promoting a community hub of creative industries
Jason DunningSenior Manager
10:15 am - 11:00 am CASE STUDY: USING AI TO PROVIDE GREATER INSIGHT INTO UNSTRUCTURED DATA
11:00 am - 11:30 am MORNING BREAK & NETWORKING
11:30 am - 12:15 pm PANEL DISCUSSION: HOW AI IMPACTS BACK OFFICE ADMINISTRATION AND PROVOKES WIDESPREAD INTERNAL BUSINESS TRANSFORMATION
- Beyond its uses in enhancing the relationship with customers, how can artificial intelligence be of most assistance in the back office, transforming transactional and advisory practice teams?
- Assessing regulatory and policy issues which might arise through the automation of agency functions, leading to changes in rules, regulations and administrative practices
- Comparing administrative practices in different countries intended to identify similar and contrasting opportunities for automation and application of artificial intelligence
- Designing the AI-enabled legal service team of the future, helping ensure firms achieve a return on their AI investments
Stuart HopperDirector of Practice Development & Innovation – Dentons UK & Middle East LLP
Anthony KennyAssistant General Counsel and CBS
Jeffrey BrandtChief Information Officer and Editor, PinHawk Law Technology Daily Digest
Jackson Kelly PLLC
12:15 pm - 1:15 pm NETWORKING LUNCH
1:15 pm - 3:30 pm WORKSHOP: WHEN AI GOES WRONG… WHAT ARE THE WORST-CASE SCENARIOS, AND HOW CAN THESE BE EFFECTIVELY MITIGATED?
AI technologies are not always foolproof… and just occasionally, they can go spectacularly wrong. Join us as we identify the ‘worst case’ scenarios of AI in action, such as data being misinterpreted, wrongly evaluated, or even lost – and what tactics can be put into place to mitigate the full effects of computer-caused errors.
What do we mean when we say Artificial Intelligence, Machine Learning and Deep Learning?
Why Data is the fuel of the AI economy
Analysing new offerings through three lenses:
- Explainability vs Performance
- Algorithmic Bias
- Unintended Consequences
- Unintended Utility
- Legal/Compliance Obligations
- Model and Data Selection
- Privacy by Design
- Internal Controls
Greg SilbermanVice President & Deputy General Counsel